Integrated program in Big Data and Data Science

Masters Program

This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast changing trends of the industry.

720 days course access

200+ hours of instructor led online classes

Practice on Cloud-Labs

Real life projects on Hadoop, R & python

Integrated Program Certification

Earn certification on completion

$100K - $220K

Annual Average Salary in US

$ 2499

Course 1 Data Science Certification Training - R Programming
Course 2 Big Data Hadoop and Spark Developer
Course 3 Tableau Desktop 10 Qualified Associate Training
Course 4 Data Science with Python
Course 5 Machine Learning
Masters Certificate *You will get individual certificates for each course.

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Simplilearn Masters Program now comes with an iPad Mini to help you learn on the go.

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About the program

What’s the focus of this learning path?

This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast changing trends of the industry.

Big data technologies like hadoop and spark provide the necessary developmental and programming frameworks to store and process huge amounts of data using a distributed computing framework. The next step to big data is to expertise in complex data science algorithms and their implementation using a highly preferred language for statistical processing like R. The insights from data are presented as consumable reports using data visualization platforms like Tableau. Once you have mastered data management and predictive analytic technique you need to start working state-of-the-art machine learning technologies which are in high demand.
If you have a vision to excel in the entire spectrum of big data and data science related technologies then this is the course for you.

What are the learning objectives?

This is an all-inclusive course for big-data and data science enthusiasts. It spans across all the major technologies in big data, data science and reporting/ visualization. This learning path is designed to maximize your potential at each step and it is suggested you follow the learning path as it ensures a step by step transition with important concepts which prepares you for the future courses.

Step	Training	Objective
1	Data Science with R	This course trains you in R programming language and all the important statistical and predictive analytics concepts
2	Big Data Hadoop and Spark Developer	The course enables you to master the various components of Hadoop ecosystem like Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. The course is aligned to Cloudera CCA175 certification.
3	Tableau Desktop Associate training	The course helps you master the various aspects of Tableau Desktop and building visualization, organizing data, and designing dashboards. It also prepared you for the Tableau Desktop Qualified Associate certification
4	Data Science with Python	This training introduces the various packages in Python like NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis.
5	Machine Learning	The course helps you gain an understanding of Machine Learning applications and algorithms. It also covers deep learning and Spark Machine learning.

Why should I do this program?
The entire analytics eco-system rests on 3 main pillars i.e. data management, data science and reporting or visualization. As an expert in this field you should have working knowledge of the in-demand technologies in this field

Big Data
1. Big Data management is the ability to store and process volumnious and unstructured data. Today with the overflow of online information most companies are adopting big data practices.
2. Hadoop provides the distributed file system for storage and MapReduce programming in Java for the processing.
3. In the analytics lifecycle it is critical to be able to be able to store and query data to feed into algorithms.
Data Science
1. Data Science algorithms use these data to create insights. Data Science is where programming meets maths. Once you have an effective way to crunch data you will need to use historical data for descriptive and predictive analytics.
2. This is done using a programming language like R or python which has all the libraries for statistical analysis. Learning these languages are important to be able to design custom models for your analytics needs and is the expectation from a data scientist.
3. These skills range from basic probability to advanced machine learning.
Reporting and Visualization
Once you have the insights it is important to have some visualization capability to make the insights available as visualization and reports to the larger organization.

This program also has a number of electives to ensure you get the required knowledge of other ecosystem and complementary skills in these fields. The 2 year period ensures you have enough time to ramp up and develop the skills and apply them in any real world scenarios hence make the most of the program.
What is CloudLab feature offered by Simplilearn?
CloudLab is a cloud- based Hadoop environment to ensure hassle free execution of all the hands-on project work. As CloudLab is a pre-configured real world-like Hadoop setup, you would avoid these potential glitches that appear during a set up through a virtual Machine:
1. Installation and system compatibility issues
2. Difficulties in configuring systems
3. Issues with Rights and permissions
4. Network slowdown and failure
5. Single machine capacity instead of clusters
6. CloudLab projects would be done on cloud- based Hadoop clusters running on Hadoop 2.711.
You will be able to access CloudLab from Simplilearn LMS (Learning Management System). We have similar lab environments for R and Python too to provide you with a seamless access.
Who can do this program?
With the booming number of Analytics opportunities and high salaries for skilled professionals, the following roles will benefit most from this learning path:-
1. Software Developers, Testers
2. Software Architects
3. Analytics Professionals
4. Business Analysts
5. Data Analysists
6. Data Management Professionals
7. Data warehouse Professionals
8. Project Managers
9. Mainframe Professionals
10. Graduates aspiring to build a career in Analytics
How do I earn the Integrated Program in Big Data and Data Science certification?
One you have completed all the courses in the learning path and earned their individual certificate you will receive the certification for the Integrated Program in Big Data and Data Science from Simplilearn.

This requires you to:
1. successfully complete the course end assessments
2. Submit the project and get pass trainer examination for each course
This criteria needs to be met for each of the 5 courses in the learning path.

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Course Advisor

Alvaro Fuentes Founder and Data Scientist at Quant Company

Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.
Paul Sharkov Data Scientist at BMO Financial Group, Member of SAS Canada Community

Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.
Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian, and he regularly speaks at renowned events.
Simon Tavasoli Analytics Lead at Cancer Care Ontario

Simon is a Data Scientist with 12 years of experience in Healthcare analytics. He is a Masters in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.

Learning path

Course 1

Data Science Certification Training - R Programming

The Data Science with R training course has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. Th course is packed with real-life projects, case studies, and includes R CloudLabs for practice. ...Know More Less

Weekend class starting 27th MayClassroom Schedule Course Content

Class schedule All Batches

May 27 - Jun 18 Weekend classes 09:00 - 13:00 CDT 8 sessions
- May
- Sat 27
- Sun 28
- Jun
- Sat 03
- Sun 04
- Sat 10
- Sun 11
- Sat 17
- Sun 18
Jun 02 - Jun 24 Weekday classes 22:30 - 02:30 CDT 8 sessions
- Jun
- Fri 02
- Sat 03
- Fri 09
- Sat 10
- Fri 16
- Sat 17
- Fri 23
- Sat 24
Jun 12 - Jun 23 Weekday classes 09:30 - 12:30 CDT 10 sessions
- Jun
- Mon 12
- Tue 13
- Wed 14
- Thu 15
- Fri 16
- Mon 19
- Tue 20
- Wed 21
- Thu 22
- Fri 23
Jun 16 - Jul 08 Weekday classes 04:30 - 08:30 CDT 8 sessions
- Jun
- Fri 16
- Sat 17
- Fri 23
- Sat 24
- Fri 30
- Jul
- Sat 01
- Fri 07
- Sat 08
Jun 24 - Jul 16 Weekend classes 09:00 - 13:00 CDT 8 sessions
- Jun
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
- Sun 09
- Sat 15
- Sun 16
Jun 30 - Jul 22 Weekday classes 22:30 - 02:30 CDT 8 sessions
- Jun
- Fri 30
- Jul
- Sat 01
- Fri 07
- Sat 08
- Fri 14
- Sat 15
- Fri 21
- Sat 22
Jul 10 - Jul 21 Weekday classes 09:30 - 12:30 CDT 10 sessions
- Jul
- Mon 10
- Tue 11
- Wed 12
- Thu 13
- Fri 14
- Mon 17
- Tue 18
- Wed 19
- Thu 20
- Fri 21
Jul 29 - Aug 20 Weekend classes 09:00 - 13:00 CDT 8 sessions
- Jul
- Sat 29
- Sun 30
- Aug
- Sat 05
- Sun 06
- Sat 12
- Sun 13
- Sat 19
- Sun 20

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Course Content

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Course 2

Big Data Hadoop And Spark Developer

The Big Data Hadoop and Spark developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed ith real-life projects and case studies to be executed in the CloudLab. ...Know More Less

Weekday class starting 26th MayClassroom Schedule Course Content

Class schedule All Batches

May 26 - Jun 24 Weekday classes 22:30 - 02:30 CDT 10 sessions
- May
- Fri 26
- Sat 27
- Jun
- Fri 02
- Sat 03
- Fri 09
- Sat 10
- Fri 16
- Sat 17
- Fri 23
- Sat 24
May 27 - Jun 25 Weekend classes 09:00 - 13:00 CDT 10 sessions
- May
- Sat 27
- Sun 28
- Jun
- Sat 03
- Sun 04
- Sat 10
- Sun 11
- Sat 17
- Sun 18
- Sat 24
- Sun 25
Jun 02 - Jul 01 Weekday classes 22:30 - 02:30 CDT 10 sessions
- Jun
- Fri 02
- Sat 03
- Fri 09
- Sat 10
- Fri 16
- Sat 17
- Fri 23
- Sat 24
- Fri 30
- Jul
- Sat 01
Jun 05 - Jun 21 Weekday classes 09:30 - 12:30 CDT 13 sessions
- Jun
- Mon 05
- Tue 06
- Wed 07
- Thu 08
- Fri 09
- Mon 12
- Tue 13
- Wed 14
- Thu 15
- Fri 16
- Mon 19
- Tue 20
- Wed 21
Jun 10 - Jul 09 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jun
- Sat 10
- Sun 11
- Sat 17
- Sun 18
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
- Sun 09
Jun 16 - Jul 15 Weekday classes 22:30 - 02:30 CDT 10 sessions
- Jun
- Fri 16
- Sat 17
- Fri 23
- Sat 24
- Fri 30
- Jul
- Sat 01
- Fri 07
- Sat 08
- Fri 14
- Sat 15
Jun 16 - Jul 15 Weekday classes 04:30 - 08:30 CDT 10 sessions
- Jun
- Fri 16
- Sat 17
- Fri 23
- Sat 24
- Fri 30
- Jul
- Sat 01
- Fri 07
- Sat 08
- Fri 14
- Sat 15
Jun 24 - Jul 23 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jun
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
- Sun 09
- Sat 15
- Sun 16
- Sat 22
- Sun 23
Jun 25 - Jul 11 Weekday classes 19:30 - 22:30 CDT 13 sessions
- Jun
- Sun 25
- Mon 26
- Tue 27
- Wed 28
- Thu 29
- Jul
- Sun 02
- Mon 03
- Tue 04
- Wed 05
- Thu 06
- Sun 09
- Mon 10
- Tue 11
Jun 30 - Jul 29 Weekday classes 22:30 - 02:30 CDT 10 sessions
- Jun
- Fri 30
- Jul
- Sat 01
- Fri 07
- Sat 08
- Fri 14
- Sat 15
- Fri 21
- Sat 22
- Fri 28
- Sat 29
Jul 03 - Jul 19 Weekday classes 09:30 - 12:30 CDT 13 sessions
- Jul
- Mon 03
- Tue 04
- Wed 05
- Thu 06
- Fri 07
- Mon 10
- Tue 11
- Wed 12
- Thu 13
- Fri 14
- Mon 17
- Tue 18
- Wed 19
Jul 08 - Aug 06 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jul
- Sat 08
- Sun 09
- Sat 15
- Sun 16
- Sat 22
- Sun 23
- Sat 29
- Sun 30
- Aug
- Sat 05
- Sun 06
Jul 14 - Aug 12 Weekday classes 22:30 - 02:30 CDT 10 sessions
- Jul
- Fri 14
- Sat 15
- Fri 21
- Sat 22
- Fri 28
- Sat 29
- Aug
- Fri 04
- Sat 05
- Fri 11
- Sat 12
Jul 22 - Aug 20 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jul
- Sat 22
- Sun 23
- Sat 29
- Sun 30
- Aug
- Sat 05
- Sun 06
- Sat 12
- Sun 13
- Sat 19
- Sun 20
Jul 23 - Aug 08 Weekday classes 19:30 - 22:30 CDT 13 sessions
- Jul
- Sun 23
- Mon 24
- Tue 25
- Wed 26
- Thu 27
- Sun 30
- Mon 31
- Aug
- Tue 01
- Wed 02
- Thu 03
- Sun 06
- Mon 07
- Tue 08

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Course 3

Tableau Desktop 10 Qualified Associate Training

The Tableau desktop 10 training by Simplilearn helps you master the various aspects of Tableau Desktop 10 and gain skills such as building visualization, organizing ata, and designing dashboards. You will also learn concepts of statistics, mapping, and data connection. The course includes an industry-based project and 2 simulation exams to prepare you for Tableau Desktop 10 Qualified Associate certification. It is best suited for software developers, BI professionals, system and administrators. ...Know More Less

Weekend class starting 27th MayClassroom Schedule Course Content

Class schedule All Batches

May 27 - Jun 18 Weekend classes 09:00 - 13:00 CDT 8 sessions
- May
- Sat 27
- Sun 28
- Jun
- Sat 03
- Sun 04
- Sat 10
- Sun 11
- Sat 17
- Sun 18
Jun 24 - Jul 16 Weekend classes 09:00 - 13:00 CDT 8 sessions
- Jun
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
- Sun 09
- Sat 15
- Sun 16
Jul 29 - Aug 20 Weekend classes 09:00 - 13:00 CDT 8 sessions
- Jul
- Sat 29
- Sun 30
- Aug
- Sat 05
- Sun 06
- Sat 12
- Sun 13
- Sat 19
- Sun 20

Download schedule

Course Content

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Course 4

Data Science With Python

The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visuali ation, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants. ...Know More Less

Weekend class starting 17th JunClassroom Schedule Course Content

Class schedule All Batches

Jun 17 - Jul 16 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jun
- Sat 17
- Sun 18
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
- Sun 09
- Sat 15
- Sun 16
Jul 15 - Aug 13 Weekend classes 09:00 - 13:00 CDT 10 sessions
- Jul
- Sat 15
- Sun 16
- Sat 22
- Sun 23
- Sat 29
- Sun 30
- Aug
- Sat 05
- Sun 06
- Sat 12
- Sun 13

Download schedule

Course Content

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Course 5

Machine Learning

This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used mach ne learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation. The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today. ...Know More Less

Weekend class starting 17th JunClassroom Schedule Course Content

Class schedule All Batches

Jun 17 - Jul 08 Weekend classes 09:00 - 13:00 CDT 7 sessions
- Jun
- Sat 17
- Sun 18
- Sat 24
- Sun 25
- Jul
- Sat 01
- Sun 02
- Sat 08
Jul 15 - Aug 05 Weekend classes 09:00 - 13:00 CDT 7 sessions
- Jul
- Sat 15
- Sun 16
- Sat 22
- Sun 23
- Sat 29
- Sun 30
- Aug
- Sat 05

Download schedule

Course Content

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Masters Program Certificate

Electives

Data Science with SAS Training
Big Data and Hadoop Administrator
Impala Training
Apache Cassandra
MongoDB Developer and Administrator
Apache Kafka
Apache Spark & Scala
Apache Storm
Business Analytics with Excel
Tableau Server 10 Qualified Associate

FAQs

What courses will be available for live instructor led online classes?

Srl No	Course Name	Monthly no. of online classes availability
1	Data Scientist with R programming	4
2	Big Data Hadoop and Spark Developer	7
3	Tableau Desktop 9 Qualified Associate	2
4	Data Science with Python	2
5	Machine Learning	1

Electives:

Srl No.	Course Name	Monthly no. of online classes availability
1	Data Science with SAS Training	2
2	Apache Spark and Scala	1
3	MongoDB Developer and Administrator	1
4	Tableau Server 10	1
5	Big Data and Hadoop Administrator	2

How do I enroll for this program?
You can enroll for the program on our website and make an online payment using any of these options:
- Visa debit/credit card
- American Express and Diners Club cards
- Master Card
- PayPal
Once the online payment is done, you will automatically receive a payment receipt and access information, via email.
What can I expect from this program?
- Access to e-learning content for all the courses included in the learning path
- Access to exclusive forums, moderated by expert faculty and industry thought leaders
- A certification in the Integrated Program in Big Data and Data Science, on meeting the program requirements
Where and how can I access the e-learning content?

Once you register and pay for the course, you get 24/7 access to the e-learning content on our website. We will aslo send an automated course purchase confirmation mail, which will guide you through the process.
I am not able to access the online course, whom do I contact for a solution?

You could raise a request on our Help & Support forum, or chat with us to get an instant solution.
Do you provide a money-back guarantee?

Yes. We provide a 7-day money-back guarantee for our masters programs. You can raise your requests on our Help & Support forum.
What are the Terms and Conditions to receive the iPad?
The Terms and Conditions are as below
- For India Region: Product shipped will be iPad Mini 2 16 GB (Wi-Fi only)
- For US and Rest of World region: Product shipped will be iPad Mini 4 16 GB (Wi-Fi only)
- Offer subject to availability of product on Amazon, in your country of residence.
- If product specified with this offer is unavailable, Simplilearn warrants the issue of an Amazon voucher of INR 15,000 (India) / USD 300(United States and Rest of World)
- Simplilearn makes no guarantees/warranties with respect to the product, its features and functionality
- Customers cannot claim an iPad incase the refund is in process

Integrated program in Big Data and Data Science

About the program

What’s the focus of this learning path?

What are the learning objectives?

Why should I do this program?

What is CloudLab feature offered by Simplilearn?

Who can do this program?

How do I earn the Integrated Program in Big Data and Data Science certification?

+1-844-532-7688(Toll Free)

Request more information

For individuals

For business

We are looking into your query.

Our consultants will get in touch with you soon.

Course Advisor

Alvaro Fuentes Founder and Data Scientist at Quant Company

Paul Sharkov Data Scientist at BMO Financial Group, Member of SAS Canada Community

Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

Simon Tavasoli Analytics Lead at Cancer Care Ontario

Learning path

Data Science Certification Training - R Programming

Big Data Hadoop And Spark Developer

Tableau Desktop 10 Qualified Associate Training

Data Science With Python

Machine Learning

FAQs

What courses will be available for live instructor led online classes?

How do I enroll for this program?

What can I expect from this program?

Where and how can I access the e-learning content?

I am not able to access the online course, whom do I contact for a solution?

Do you provide a money-back guarantee?

What are the Terms and Conditions to receive the iPad?

Talk to us and get expert advice

+1-844-532-7688
(Toll Free)

Talk to us and get
expert advice